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Article

Transit-Oriented Development in China: A Comparative Content Analysis of the Spatial Plans of High-Speed Railway Station Areas

by
Biyue Wang
1,2,*,
Martin de Jong
3,4,5,
Ellen van Bueren
2,
Aksel Ersoy
2 and
Yanchun Meng
1,*
1
School of Public Policy and Management, Tsinghua University, Beijing 100084, China
2
Faculty of Architecture and the Built Environment, Delft University of Technology, 2628 BL Delft, The Netherlands
3
Rotterdam School of Management, Erasmus University Rotterdam, 3062 PA Rotterdam, The Netherlands
4
Erasmus School of Law, Erasmus University Rotterdam, 3000 DR Rotterdam, The Netherlands
5
Institute for Global Public Policy, Fudan University, Shanghai 200438, China
*
Authors to whom correspondence should be addressed.
Land 2023, 12(9), 1818; https://doi.org/10.3390/land12091818
Submission received: 21 August 2023 / Revised: 14 September 2023 / Accepted: 17 September 2023 / Published: 21 September 2023
(This article belongs to the Special Issue The Interaction between Public Transport Systems and Land Use in the Era of Technological Innovations in Transportation)
Browse Figure
Versions Notes

Abstract

:
With rapid high-speed railway (HSR) developments in China, HSR-based transit-oriented development (TOD) has proliferated across the country. Although local governments claim that HSR station areas are planned according to TOD principles, some scholars argue that these station areas actually contribute to unsustainable development. This study investigates two main questions: (1) what success factors should be included in a TOD plan for HSR station areas? (2) to what extent are these factors considered in the plans of Chinese HSR station areas? To answer these questions, we use content analysis to compare spatial plans for 15 HSR station areas across China, triangulating the findings via in-depth interviews and field investigations. This study reveals that most of the factors in the plans for HSR station areas deviate from TOD principles, especially in small- and medium-sized cities. We find that Chinese local governments mainly use TODs as a tool to promote suburban expansion around HSR stations.

1. Introduction

Sustainable development has been adopted by urbanizing cities around the world as a fundamental goal of their planning and governance [1]. To achieve sustainable development goals and curb car-oriented sprawl, transit-oriented development (TOD) has been proposed as an effective planning strategy [2,3,4,5]. TOD can be defined as the integration of transportation and land-use planning that maximizes the efficiency of transit services by focusing urban development around exchanges, stations, and stops, while also improving mobility, accessibility, and pedestrian and cycling friendliness [6,7,8]. In recent decades, TOD planning practices and academic discussion have emerged around the world, especially in North America, Europe, Australia, and Asia [9,10,11,12,13,14,15].
The TOD concept has been widely used in Chinese cities to develop communities around mass rapid transit, including heavy rail, light rail, and bus rapid transit (BRT), and prevent car-driven suburbanization and urban sprawl [16]. Local governments (e.g., Guangzhou, Shenzhen, Shanghai, Hangzhou, Wuhan, and Nanjing) have realized that integrated transport and land-use development can help them reach sustainable urbanization objectives [17]. China’s national government has also promoted the development of TOD. For example, the Transit Metropolis Programme (gongjiao dushi) was launched by the Ministry of Transport to develop low-carbon rail-based transport systems [18]. The Ministry of Housing and Urban Construction released “Planning and Design Guidelines for Areas along Urban Rail Lines” in 2015, with the goal to boost transit efficiency and foster integrated railway and land developments.
Scholars regard TOD as an effective strategy to tackle the challenges faced by Chinese cities, and they also believe the Chinese context has provided a unique testing ground for examining the policy transfer and application of the TOD concept [4,19,20,21]. The first reason is that, in contrast to Western Europe and North America, China is still experiencing rapid urbanization and the level of car use is relatively low [17,22]. Second, national policies have shifted to promote and invest in public transport and focus on the environmental impacts of projects [23]. Moreover, the rapid development of high-speed railways (HSRs) in China provides opportunities for the application of TODs [24]. Chinese planners have promoted a popular concept called HSR-based TOD, and most HSR stations in China are claimed to be planned according to TOD principles [25,26].
However, scholars have found that Chinese local governments and their planners revise TOD principles to fit their context and depart from the TOD concept [11,19,20,27]. TOD planning practices in China have become transit adjacent developments (TADs), which are geographically close to transport nodes but fail to leverage this closeness to encourage transit ridership [28]. Especially in the development of HSR station areas, most local governments and planners have promoted their programs as supporting and following TOD principles; however, their plans actually contradict the core concepts of TOD in terms of functional mix, vitality, diversity, livability, and walkability [29,30]. In contrast to the regeneration around existing stations in Europe and Japan, most Chinese HSR station areas are located in suburban regions and occupy large areas of land [31,32]. These HSR new towns are planned to catalyze urbanization and transform the economic structure, which has been criticized by scholars for causing urban sprawl [22,25,33].
The widespread TOD principles were set for urban rail systems, and how they can be adapted and applied to HSR systems does not seem to have been carefully examined by Chinese planners [26]. Despite the fact that plans regarding Chinese HSR station areas have been criticized, little is known about the content of their plans and how they take the prerequisites and characteristics of successful TODs into consideration. Therefore, this study addresses two questions:
(1)
What success factors should be included in a TOD plan for HSR station areas?
(2)
To what extent are these factors indeed considered in the plans for Chinese HSR station areas?
Spatial plans are crucial for the successful implementation of TODs since they underpin the whole project [15]. A comprehensive examination of station area plans can provide insight into the aims and strategies of local actors in spurring urban growth and their understanding of TOD [34]. It can also explain the underperformance of Chinese HSR station areas since the spatial plans prescribe all subsequent programs [35]. A comparative analysis between cities can shed light on the gaps between Chinese planning practices and TOD theoretical principles [36].
In the following sections, we review the literature on the factors that contribute to effective TOD plans and propose a framework for coding the plans of Chinese HSR station areas. Fifteen spatial plans for station areas are analyzed and coded through content and discourse analysis methods. To cover all types of Chinese HSR stations, we select plans for five national hubs, five regional interchange stations, and five medium-sized and small stations. The results are demonstrated in tables and figures to show the TOD factors at different levels of Chinese HSR station areas.

2. Success Factors in a TOD Plan for a HSR Station Area

We mainly reviewed two strands of literature: the research on success factors of TOD plans and studies on good HSR station area planning. The conditions of cities and their governance are the foundation for the planning and development of TODs in HSR station areas [2,37,38,39]. The planning of TODs is known to be based on three main concepts known as the “3 Ds” (density, diversity, and design), which have been subsequently updated to the “5 Ds” with the inclusion of distance to transit and destination accessibility [40,41,42]. The station area is a node in the transport network and a place in the city [43]. The new “2 Ds” focus on transport planning, while the “3 Ds” emphasize land development. Therefore, we divided the factors in the literature into three categories: urban context and governance, transport and interchange, and land-use planning.

2.1. Urban Context and Governance

Mega infrastructures, especially HSR, have been built in cities to show their urban modernity and accessibility, and are aimed at attracting investments and encouraging regeneration or new developments around station areas [44,45,46]. However, for the infrastructure and new accessibility to really create developmental opportunities, public actors need to grasp them by devising supplementary and effective strategies [47].
One of the most important preconditions for station area development is a clearly publicized, understood, and systematized long-term vision [39]. A smart and powerful vision can help actors achieve good governance for TODs [7,17,37,48]. Scholars argue that the identification of a clear vision and measures to deliver the vision lead to the successful development of European stations, such as Lille station and Rotterdam central station [49,50]. The lack of a long-term vision in the plans resulted in few Chinese cities achieving “true transit-oriented” rather than “transit-adjacent” developments [51]. Most of the plans aimed to address urgent practical problems with a strong emphasis on market-based development.
Furthermore, the impacts of HSRs and the development of TODs differ across cities; therefore, plans should be designed based on the local context [52,53]. The local context consists of the role a city has within its region, its size and population [52,54,55], the conditions and diversity of economic activities and the real estate market [56,57], policies constraining car purchase and use [58,59], as well as strategies facilitating transport and land use [22,38,60].
The development and implementation of spatial plans for HSR station areas is a complex process that involves various actors with different interests [25,61,62]. In a decentralized context, Chinese local governments play a more important role in planning and developing HSR station areas because the land around the station and part of the funds are owned by local governments [32]. The location of the HSR station is a result of negotiations between China Railway (CR)1, provincial governments, and local governments. The spatial plan for a station area is mainly drafted by the local government; it is not only responsible for providing public transport connections but also for developing the station area. The spatial plan is critical to the operation of the project since it serves as the foundation for the rules and regulations that will be implemented throughout the operation stage [35]. An analysis of the various factors related to TOD in the spatial plan helps to understand the local government’s view of TOD and its “real” development intentions [34]. It also helps to bridge the gap between TOD principles and Chinese planning practices.

2.2. Transport and Interchange

The quality and design of transit services are fundamental to the successful implementation of a TOD plan [63]. Measuring transportation characteristics has been the focus of many studies [64,65]. The accessibility of the station within national and regional railway networks, as well as the characteristics of HSR services, such as the types of railways, capacity, and frequency, have been used as important indicators, as they determine the passenger numbers in and around the station [66,67]. Furthermore, the location of HSR stations in cities is vital for TOD implementation because it influences the distance to transit and destination accessibility, for example, schools, hospitals, and firms [68,69,70]. Experiences in the UK, France, Spain, Germany, and China have shown that, compared to stations in the center, peripheral stations have difficulty succeeding in urban development [34,47,60,71,72].
Moreover, other scholars have emphasized the importance of efficient connectivity with other transport modes, which can catalyze the development of surrounding areas [9,73]. A high frequency, comfortable, and attractive public transport system is another essential factor for TOD since high-quality public transport can compete with private vehicles [11,74,75,76]. The seamless interchange between public transport methods has also been emphasized since it can increase the efficiency of individual trips and reduce total socio-economic costs [77]. Meanwhile, it is crucial to supply optimum parking areas for cars rather than completely remove them [3,78]. Large areas of surface parking should be avoided since they impede the integration of the station and the surrounding area [79]. In addition, easy access to the station by walking and cycling is important for TOD plans [11,80,81].

2.3. Land-Use Planning

Sustainability has been reflected in different planning theories, such as New Urbanism, Smart Growth, and TOD [82]. The consensus amongst these theories is that land use in the form of high density, diversity, and high-quality design can promote sustainability [40,42,81,83,84]. TOD is viewed by planners as a way to accommodate urban growth in a compact area, the competitiveness of which can be improved through good accessibility and mixed-use development [74]. Urban density can be increased by enhancing employment opportunities and housing around transit stations, which can support the effective use of the transit system and curb urban sprawl [63,85]. Diversity can be achieved through a land-use mix of retail shops, hospitals, banks, restaurants, public space, and housing within walking distance of stations, which can create a sustained and balanced passenger flow [63,86]. In addition, the research suggests that the real estate market should provide diverse types of housing for effective TODs, such as affordable housing, commercial housing, different sizes of houses, and houses for sale and rent [17]. The high accessibility of the station area can spur the price of housing and land [87,88,89]. A large number of Chinese HSR stations are built in suburban or rural areas, where a large number of farmers have lost their land and lack the income to buy new properties [32,54]. Their resettlement should also be considered as an important context for TOD planning.
Studies in urban design have considered physical design as critical to successful TODs [90,91,92]. Urban aesthetics contribute to the identity and image of station areas; therefore, they are consciously used as an economic development tool in a globalized and competitive environment [93,94]. Especially in HSR station areas, planners usually create an international business image suitable for attracting knowledge economy functions, such as finance and creative industries [95]. The elements of urban quality include mixed land use, high-density, safe and convenient walkways and biking facilities, interconnected street patterns, public space and squares for street life and informal meetings, and place-making for urban culture [15,39,91,96,97].
According to the review in Section 2.1, Section 2.2, Section 2.3, we summarized factors based on the overlaps and common indicators mentioned in the literature of successful TOD factors and good HSR station area planning. Then, we drafted codes for the content analysis of spatial plans for HSR station areas (Table 1).

3. Methodology

3.1. Data Collection

The spatial plans reflect the government’s long-term vision and strategic direction, serving as a formalized method for actors to convey their views [15]. Therefore, they can provide a reliable dataset for analyzing how local governments and planners comprehend the TOD concept. Furthermore, the consistent framework of planning texts allows researchers to compare different cases in an objective manner. Due to the practical constraints, such as data accessibility, time, and resource limitations, it is nearly impossible to explore how each station embodies and deviates from the TOD principles throughout planning and construction. Thus, spatial plans emerge as the most suitable choice for a systematic analysis of the problem.
However, the planning documents for HSR station areas are non-public information and difficult to access in China; we collected 38 planning documents through our personal network. First, we identified 34 spatial plans for HSR station areas rather than architecture or transport-specific plans. Second, we read all the plans carefully and selected 26 plans that explicitly mentioned TOD. Then, for representativeness and comparability, we selected spatial plans for five national hubs (Hangzhou East Station, Nanjing South Station, Shanghai Hongqiao Station, Guangzhou South Station, and Shenzhen North Station), five regional interchange stations (Luoyang Longmen Station, Foshan West Station, Changzhou North Station, Huzhou Station, and Bengbu North Station), and five medium-sized and small stations (Jinjiang Station, Xinyu North Station, Fuyang Station, Tonglu Station, and Haining West Station) to cover all types of stations (Figure 1).
The examples of each type of HSR station provide a better picture of the overall situation in China. CR grades HSR stations based on passenger numbers, technical operations, and their position on the national railway, political, and economic networks (Table 2). The investment of TOD varies with city size; therefore, the plans should be consistent with the size, population, and economic situation of cities for successful TODs [52,53]. We selected the most representative cases: the five national hubs that were the largest HSR stations in Asia that received support from the national government. The regional interchange stations play important roles in their regions. Moreover, China started constructing HSRs in 2008; therefore, all cases were planned during the decade from 2010 to 2020, and all plans are currently in force, which is also important for the comparative analysis. These plans were analyzed via a content analysis method.
To further validate and gain deeper insights into the findings from the content analysis, semi-structured interviews and field investigations were conducted from December 2018 to March 2019, in October 2019, and in January 2020. Nineteen interviews were completed with relevant actors in China Railway, China Railway design and survey groups, architectural firms, urban planning institutes, universities, and local governments (see Table S1 for list of interviewees). The interviewees included representatives from local governments of a medium-sized city and a large city in China (specific locations are withheld due to confidentiality agreements). Field investigations in Shanghai Hongqiao HSR Station, Guangzhou South Station, and Shenzhen North Station provided on-the-ground observations of the challenges and progress in implementing TOD principles.

3.2. Data Analysis

We adopted content analysis as a method to analyze the spatial plans of HSR station areas. Content analysis has advantages in analyzing documents and graphs because it efficiently organizes the materials in a systematic manner, highlighting the similarities, differences, and connections across a wide range of aspects [98,99]. Qualitative content analysis is suitable in this regard because its three characteristics are data reduction, systematicity, and flexibility [100]. Each spatial plan for the HSR station area has more than 100 pages. The content analysis helped us focus on the parts relevant to the main research questions. The method also requires coding in a systematic way twice to avoid ambiguity. In addition, the method is flexible because it combines concept-driven and data-driven categories within one coding frame. As Table 1 shows, we analyzed both concept-driven texts, such as visions, and data-driven texts, such as passenger numbers.
The first step in the content analysis was to build a coding frame [99]. In the second section, we illustrated how we built the coding frame according to the literature. We defined three main categories and ten main factors. Second, we conducted trial coding on spatial plans in the software NVivo 11. We evaluated and modified the coding frame, as the third column in Table 1 shows. When a text segment was deemed meaningful and relevant, it was coded and compared to the existing codes to determine whether it was new, existed previously, or could be merged with the existing codes. Then, the first author applied the coding frame to all materials twice to improve the reliability. One round was conducted in July 2021 and the other round was completed in October 2021. A total of 24 nodes in three main categories were developed at the top level, and many “child nodes” were created at a lower level. The full table of nodes is presented in Table S2 and the detailed coding for each plan is shown in Table S3. In the following section, we present our results and analysis of the 15 HSR station area spatial plans.

4. Analysis

4.1. Context and Governance

Table 3 summarizes the general information collected on the stations and station areas. A comparison with the information on the local context in Table 2 shows that station size is determined by the local context, while the location of the station in the city and station area are not planned for each local context. Station size, which consists of the station floor area and station layers, closely correlates with station level, connected railway lines, and passenger numbers because it is mainly decided by CR according to passenger demand. In contrast, as a result of the negotiations between railway and urban actors, these HSR station areas are all far removed from city centers. The average distance between these stations and city centers is 10.1 km. This average distance is 12.6 km for national hubs, 8.7 km for regional interchanges, and 11.1 km for small- and medium-sized cities. The non-central location of HSR stations reduces their accessibility because of longer access times, difficult transfers between transport methods, and a lack of walkability. At the same time, the urban and economic developments of station areas are impeded because they are far from the built-up urban areas. Wang et al. [32] explained that there was little space left in the built-up areas of megacities and large cities, and demolition costs were unaffordably high for local governments. Railway actors would prefer to keep railway lines straight, and because stations for small- and medium-sized cities are regarded as unimportant nodes, they are usually located far away from those cities. Meanwhile, local governments would prefer to use this opportunity to promote urbanization.
The goals of local governments are also reflected by the size of the station areas in Table 3, which are all large, regardless of the city size, GDP, and population. Whether the HSR station area varies with city size can be directly expressed by dividing the area of the HSR station by the population of the city. Ribalaygua and Perez-Del-Caño [101] analyzed 12 Spanish HSR station areas and found their relative sizes varied from 0.5 to 1.5. In contrast, the relative size of Chinese HSR station areas fluctuated between 0.13 and 24.53. The most striking result was that the station areas of national hubs in megacities were planned at a relatively small size at the beginning of projects, which were all below 1, though Nanjing South and Shanghai Hongqiao were extended after a few years. The relative sizes of regional hubs in large cities were comparatively large, around 1.5, except for Bengbu North Station, which was 6.52. The relative size of medium-sized and small station areas was disproportionately large, varying from 1.85 to 24.52. This suggests that these local governments in China did not plan their HSR station areas according to the local context, such as population and economic conditions, but rather attempted to maximize their HSR station areas. In Section 4.3, we analyzed the reasons for this situation in relation to land use.
The visions of station areas depend on the local context, resources, and the aims of local governments [79]. After coding the 15 station area plans, we found six types of visions promoted by local governments, namely, integrated transportation hub, new city center or sub-center, new town, commercial and business centers, tourism and travel-related service center, and city gateway and landmarks (Table S2). Each plan contained two to three of these visions (see Table S3 for details). The first feature of the visions of these HSR station areas was that most of them were positioned as integrated transportation hubs, emphasizing the primary function of HSR station areas as the integration of multiple transport modes. Second, Chinese local governments expected the HSR station areas to change the urban structure from monocentric to polycentric. Megacities, where national hubs are located, mainly plan HSR station areas as new city centers or sub-centers, while large cities, where regional interchanges are located, and medium-sized and small cities mainly plan HSR station areas as new towns. The centers of monocentric cities often face traffic congestion and pollution problems because their business and commercial activities in city centers generate a large amount of traffic, which is beyond the capacity of the road networks [17]. Polycentric urban forms can theoretically reduce traffic density around former city centers by spreading out the flow of people to different centers. Local governments in China aspire to use the dense traffic in HSR station areas to create new urban centers and alleviate the traffic congestion in their urban areas.
Furthermore, all local governments regard HSR stations as an important opportunity to attract commercial and real estate developments. The vision of a successful commercial and business center has been outlined in most plans; though, the type of development varies by city. Pol [102] found that the visions of European HSR station areas could be divided into two categories: international service cities using HSR station areas to attract knowledge economy-related and service industries, such as Amsterdam, Rotterdam, Barcelona; and Lyon, whereas cities in transition expected the HSR station areas to create changes to their economic structure, such as Utrecht and Lille. The Chinese HSR station areas also followed this pattern. Station areas in megacities were designated to provide services for entire urban clusters, such as the Yangtze River Delta, or even the entire country, and attract international financial and business companies. Large cities sought to transform their economic structures from primary and secondary industries to service industries; therefore, their HSR station areas were envisaged as urban gateways and new landmarks to enhance their city image, demonstrate modernity, and attract urban investments. Small- and medium-sized cities tend to position their HSR station areas as a tourism-related service center. They expect their natural resources to attract tourists and stimulate local service industries.
Although all plans mentioned that they were planned according to the TOD concept, most of the plans did not clearly reflect a TOD vision, such as environmentally sustainable, compact development, and walkability, except for Shanghai Hongqiao Station, which was proposed to be the first low-carbon business community in Shanghai. Similar to Xu et al. [51], we found that the vision of TOD in the Chinese HSR station area primarily focused on market-based growth. One of the reasons for this phenomenon is that planners have attempted to transfer successful TOD policies from other countries. They cited station area developments in other countries, such as Yokohama Station and Osaka Station in Japan, Berlin Station in Germany, and Lille Station in France, as “best practices” to demonstrate that HSR station areas are suitable for financial, business, and commercial functions. However, many TOD policy transfer studies have noticed distortions and unintended consequences in both the ways information is “sent” and “received” [15]. Chinese planners did not carefully scrutinize the successful development of HSR station areas in Europe and Japan in these plans. They ignored the local context and supportive policies, and simply concluded that the HSR station area was suitable for commercial and business developments.

4.2. Transport and Interchange

As shown in Table 4, the proportion of the railway area in the whole HSR station area is small for each case. Especially in small, medium, and large cities, the proportion does not exceed 8%. Some of the experts we interviewed from the CR used this indicator to evaluate the integration of the station and surrounding area, which was problematic (interviewees 1, 2, and 6). Ribalaygua and Perez-Del-Caño [101] found that the proportion of railway areas did not exceed 10% for 12 Spanish HSR stations because the tracks were laid underground to address the barrier effect of the railroad. In the case of China, the railways were laid at ground level. As previously analyzed, the main reason for the low percentage of railway areas was that the size of the stations was reasonable, while the area around the HSR stations was planned to be large. These tracks still separate parts of the city and pose obstacles to the integration of the station and surrounding areas.
In contrast, road areas occupied more than 20% of the HSR station area in most cases. In the TOD standard, it is recommended that the total road area used for vehicle travel should be less than 15% of the station area [82]. However, since Chinese HSR station areas were too far from the urban area, and there were no connecting local public transport networks, many new roads were needed to connect the station to the built-up areas. These road systems can increase the accessibility of the station area because people can have easier access to their destinations in the city center, such as hospitals and schools. In addition, we found that, regardless of city size, the main roads in the station area were designed to be 60 m wide, and one of the main roads in the Fuyang Station area was even planned to be 100 m wide. These roads were designed as six lanes in both directions, with some small cities, such as Jinjiang, planning to expand the roads to eight lanes. Such wide roads not only waste land and encourage private car travel, but also prevent pedestrians from crossing the road and reduce the walkability of the area.
The planning concept of public transport priority in TOD was clearly stated in nine plans, three megacities, three large cities, and three small- and medium-sized cities. The predominant mode of public transport is the bus, and it is worth noting that the bus also includes long-distance buses in China, which can reach other cities that are not accessible by HSRs. In most plans, 70% of the total passenger traffic is planned to be carried by public transport modes, including the metro, BRT, and buses. Most cities expect the metro to carry the most passengers, at around 50%. The share of buses was about 40% in megacities and large cities and this percentage decreased to around 20% in small- and medium-sized cities. Meanwhile, the proportion of taxis in the plans increased from 8% to 20%. This indicates that the smaller the city, the lower the proportion of public transportation and the more it relies on taxis and private cars. Megacities and large cities better fulfill the principle of using public transportation advocated by TOD, while small- and medium-sized cities deviate from this principle. Moreover, the extent to which public transportation use is conducted as planned is still a prominent question. Interviewees 7 and 9 pointed out that, due to institutional and technical complexities, local public transportation often lags behind the opening of HSRs in large- and medium-sized cities. For example, the metro at Luoyang Longmen Station opened ten years after the operation of the HSR, and the time lag for Changzhou North Station was eight years. In the first few years after the opening of the HSR, it was still necessary to rely on taxis and private cars to reach the HSR stations in these cities. It is worth studying whether people’s travel behaviors can change after the opening of public transportation.
Experts in transport planning often suggest the integration of different transportation modes (mainly the bus, subway, and rail) and consider this integration to take precedence over the integration of stations and land use [103,104]. They argue that providing “seamless transfers” between modes can increase the proportion of trips made using public transport and, therefore, reduce car travel and the pressure on road networks. The importance of seamless transfers was clearly recognized in 11 cases. Nanjing South Station was the first transportation hub in China to achieve a seamless transfer through vertical interchange. Its “vertical interchange” design concept has been promoted and used by the CR nationwide. As shown in Table 3, all these stations are multi-layered, with passengers interchanging between different transport modes on different floors via elevators and escalators. One of the advantages of this design is that large parking areas are designed underground and do not become a barrier to the station and its surroundings. Private car users can also easily transfer to other public transport modes inside the station. However, Chen and Wei [31] argue that such transfers are not genuinely seamless, as the station itself is so large that passengers need to walk for more than ten minutes to actually make the transfer. Additionally, interviewee 18 highlighted that a significant obstacle to seamless transfers was the need for double security checks when transferring between the metro and HSR. Since the CR is in charge of the HSR services in China and the local governments are in charge of the metros, there is a lack of coordination between these systems. As a result, passengers often have to experience through security checks twice, which is inconvenient and time-consuming.
Urban planners often assert that the measure of a successful sustainable transportation policy should be an overall reduction in the travel distance, replaced by frequent travel on foot and by bicycle, and long-distance travel by public transportation [105]. However, only five cases proposed pedestrian priority, and eight plans emphasized pedestrian–vehicle separation in station areas. Although pedestrian routes were planned in 11 stations, most of them focused on the interior of the station, while walking and cycling networks in the station area were rarely mentioned. Three case stations, Hangzhou East Station, Guangzhou South Station, and Changzhou Station, planned complete pedestrian networks, bicycle lanes, and bicycle parking facilities. Complete and safe cycling and walking networks are emphasized in the TOD concept [82]. Most plans for Chinese HSR station areas ignore this principle.

4.3. Land-Use Planning

All 15 plans emphasized the high-density development of the HSR station areas. The station was surrounded by commercial and business buildings whose floor–area ratios (FARs) were 3.5–4.0. As the distance from the station increases, the FAR gradually decreases to less than 2.0. The development pattern is in line with the principle of high-density development; however, one of the compact principles advocated by TOD is that these developments are planned in vacant urban areas or brownfield sites [82]. According to our interviews, small- and medium-sized cities were eager to build several new districts or new towns to convert agricultural land into constructive land (interviewees 11, 12, and 14). However, a large area of land in these new towns was left vacant by developers because of the depressed local economy [106]. When the sites for the HSR stations were selected, most local governments in China did not use these vacant land areas to build the HSR stations, but instead chose to continue to expand the cities and build HSR new towns. In most cases, the land-use functions before the development of the 11 station areas were agricultural land, fish ponds, woodland, and residential land for farmers (Table S2). Therefore, the planning of these station areas did not follow the principle of compactness in terms of the whole city level, and it also resulted in a loss of farmland.
These HSR station areas are vast, especially in small, medium, and large cities. In addition to the road and railway areas, there are seven types of areas: commercial, business and financial, tourism and entertainment-related, residential, squares and parking, and green space. Commercial areas is planned for retail, shopping malls, and restaurants in station areas, while the business and financial areas include large office areas, exhibition and convention centers, and industrial parks. As shown in Table 4, each station area has a large area of commercial, business and financial, tourism, and entertainment land planned, with most station areas accounting for more than 20% of the total. Each city expects the HSR station area to demonstrate a sense of modernity and prosperity. Local governments and planners, especially of small, medium, and large cities, believe that the increased accessibility created by the HSR will generate development opportunities for their cities [107]. Surprisingly, regardless of local conditions in the cities, the economic development plans for HSR station areas were all designed to attract international company headquarters, financial companies, and high-tech industries, along with large convention and exhibition centers, trade centers, and theme parks. In the plans for the five megacities, planners systematically analyzed the economic bases of the whole city, other business centers in the city, and the complementary positioning of the HSR station area and other business centers. However, in practice, the economic development around Guangzhou South Station still lags behind planning expectations, and the level of commercial and business development is much lower than the targets in the plans [108]. Based on the land-use-change data from 232 European stations, Wenner and Thierstein [34] conclude that stations on the urban fringe rarely attract any development around them. It is dangerous for small, medium, and large cities to plan large commercial and business areas around HSR stations without clear and tailor-made goals, leading to large areas of unused land and being criticized in the media as “ghost towns”.
In Table 4, residential areas account for a large portion of the area, regardless of city size. According to Saunders and Smith [109], TOD frequently causes a spike in surrounding housing prices, and land developers recognize its potential. Xu et al. [110] studied metro stations in Wuhan, China, and reported that the price premium for commercial housing within 100–400 m of the station was about 8% and 16.76% within the buffer zone 100 m from the station. Land policy in China has undergone a series of reforms since 1994, turning urban space into a marketable commodity, while urban housing has also been rapidly commoditized. The decentralization of administrative and financial powers allowed local governments to retain the profits from the sale of land-use rights. Meanwhile, local governments are responsible for funding local development and local fiscal balance, so they exhibit entrepreneurial behavior [111], following a land-driven, fiscal-driven, and growth-promoting logic [112]. Local governments pursue the maximization of land finance and land speculation and rely on various land-based revenues [113,114]. The development of mega-projects, such as HSRs, provides excellent opportunities for local governments to speculate on the surrounding land, develop real estate, and gain fiscal revenues [115,116]. Thus, a large number of residential areas were planned in these HSR station area plans; however, in reality, these HSR new towns did not attract a large number of households due to a lack of other infrastructures. This phenomenon has been taken seriously by the Chinese central government, which has introduced policies to limit the scale of developments around HSR stations and prevent the debt risk of local governments [117].
Furthermore, scholars have suggested that rising housing prices around TODs may exclude low-income groups (who may be more likely to use public transport than higher-income residents) from living in TOD areas [17,109,118]. Social diversity and a mixed income should be a fundamental requirement for TODs [119]. However, in these 15 plans, we found that most of the planned residential areas were intended for high-end commercial housing, and there was no mention of affordable housing. Only three HSR stations, Nanjing South Station, Bengbu Station, and Haining West Station, explicitly mentioned new residential areas in the station area for the farmers who originally lived in the area and those with a low income. Almost all new developments near stations may be unaffordable for low-income households. Local governments should consider mixing housing types and arranging affordable housing while expecting revenue from commercial housing.
Although the plans emphasize mixed-use development, the arrangement of different functions is still structured as mono-functional mega-blocks. A function is concentrated in a large area without mixing with other functions. The TOD standard suggests the length of the longest block should not exceed 110 m, while the smallest blocks in these plans are around 200–300 m. As suggested by Pan et al. [16], there is an urgent need for China to adjust its planning codes to promote small blocks and mixed-use pedestrian-friendly environments.
The design of public space and architectural aesthetics occupy much of the space in each of the 15 plans (Table S2). The reason is that local governments expect the HSR station area to enhance the image of the city, attract investments, and increase the competitiveness of the city. At the same time, these station areas are located far from the city; therefore, they have better natural attractions for tourism, such as the Luoyang Longmen Station, which is adjacent to the Longmen Grottoes, a World Heritage Site. Green space also accounts for a large proportion of the area. Many stations are adjacent to water bodies; therefore, waterfront conditions are utilized in the design of public spaces. Moreover, these HSR stations attach great importance to the design of the station squares because station squares not only assume part of the interchange function, but also assume the function of accommodating a high number of passengers during special periods, such as the Spring Festival and summer holidays. The squares also connect the station and the city. Conventional railway stations in China are typically separated from cities by large hard-surfaced squares. In the HSR station area plans studied here, planners have taken note of this issue by incorporating soft surfaces, such as water bodies and green areas, into the station squares. Moreover, in these plans, the main building of each station has a symbolic meaning that reflects the local cultural characteristics. For example, the building of Guangzhou South Station represents the “banana leaf” of its regional culture. However, these symbolic meanings are generally not easily recognized by passengers because of the grand scale of the stations.

5. Conclusions

A good station area plan underpins the successful operation of an HSR station [79]. Chinese local governments claim that HSR station areas are planned according to TOD principles and promote HSR-based TODs; however, scholars, media, and passengers have criticized these station areas since their openings. They argue that the design of HSR station areas actually violates the basic principles of TODs and even causes urban sprawl. Therefore, this article focused on what success factors should be included in a good TOD plan for HSR station areas, and to what extent these factors were considered in the planning of HSR stations in China. We investigated to what extent the plans adhered to TOD principles, as clustered in Table 5. The spatial plans of 15 HSR station areas were compared, including national hubs in megacities, regional interchange hubs in large cities, and stations in small- and medium-sized cities. We compared the factors in these plans with the success factors of the TOD standard in terms of contexts and governance, transportation and interchange, and land-use planning, as well as the characteristics of the station plans of different city sizes.
First, as shown in Table 5, the choices made in Chinese HSR station areas deviate from TOD principles; however, the causes of these deviations vary from one factor to another. Some important factors were ignored in the plans, such as pedestrian priority. Others were recognized and mentioned in the plans as important planning principles by planners, such as diversity and high density. However, the specific design of the land use deviated from these principles. Many actors were involved in the decision-making process; therefore, some factors, such as the location, were not decided by planners, and partly for that reason TOD planning principles were not followed [106]. Furthermore, there were factors, such as seamless interchanges, which were highlighted in the plans but hindered in practical implementation by the complexity of the institutions and the fragmentation of land ownership [107]. The divergence between factors in the plans and TOD standards caused the development of HSR station areas to change from the TOD as advertised to the TAD as practiced. Different solutions should be adopted for these different factors, rather than only considering this phenomenon as a planning-level problem.
Second, many cities regard these mega-projects as solutions to their urban development issues [44]. These HSR station area plans are considered to progress “urbanizing the suburbs.” Shen and Wu [120] argued that the so-called TOD was used as a financing instrument to catalyze state-supported, transit-led suburbanization. The most significant characteristic of these station area plans was that they all aimed to be areas where the service industry and knowledge economy were booming, with a focus on market-based growth. These large station areas contain large commercial and business areas, as well as residential land. Local governments rely on the revenues generated by the sale of these land-use rights; however, this is an unsustainable mode of development. Many studies have shown that infrastructure and increased accessibility are development opportunities, and local governments need to grasp the opportunities through appropriate strategies and policies [47]. However, the commercial planning of the examined station areas is detached from the local economic foundations and lacks supporting policies, resulting in the failure of these HSR station areas to meet the planned goals. Moreover, large areas of agricultural land have been converted into construction land. To date, this is an irreversible process and has had an adverse impact on the environment and the amount of arable land. The social inequities caused by this process were not addressed in the plans either.
Third, the comparison revealed that the planning problems of regional interchanges in large cities and stations in small- and medium-sized cities were more significant than the national hubs in megacities, which received more attention from scholars [29,121]. As discussed in Section 4, not only the location and size of these HSR station areas, but also the commercial and business areas, were not developed in line with their local contexts. Meanwhile, the construction of many wide roads has demonstrated that these plans promote the use of private cars and taxis, which completely departs from the core concept of TOD. Moreover, residential areas predominate in these medium and small station areas; however, these cities are in fact reducing their populations [122]. Interviewee 12 from the local government of a medium-sized city stated: “We hope to attract and retain more people in our city through the new HSR station and surrounding development.” However, the research indicates that the opening of HSRs often leads to increased population and resource migration toward large cities and megacities [123]. Consequently, small- and medium-sized cities may face mounting challenges in retaining their populations, with large residential areas potentially going unused. TOD promotion in small- and medium-sized cities necessitates a different set of policy solutions than in megacities [51]. It is imperative for the national government to introduce supportive TOD policies tailored to these small- and medium-sized cities.
There is a lack of explicit recognition of specific features and performance standards to establish what represents effective TOD in Chinese plans, which has complicated the sharing of experiences between cities and monitoring TOD progress [51,118]. In this study, we summarized what we identified as the standards in the literature to compare TOD plans for different HSR station areas. We recommend that national planners devise national standards to ensure that national policies for TOD planning are reflected in the local planning schemes. These national TOD standards should differ for cities of different sizes, and they should include the percentage of public transport in the modal split, complete pedestrian and bicycle networks, and dramatically reduced block size. In addition, successful TOD implementations must be based on the specific political and economic circumstances and urban form of the city [15]. Local planners should design TOD solutions in conformity with specific local conditions, including funding potential and supplementary policies.
Furthermore, in order to further the integration of transport with land use, both national and local governments should consider institutional reform and promote the cooperation between railway and urban actors. At the present stage, the cooperation can be the mutual recognition of security checks between railway and subway actors, which would already simplify one procedure for passengers. In the long term, actors should establish a collaboration at the early planning stages to share responsibility for the design and operation of the HSR station area to facilitate the implementation of TODs. Finally, a major shortcoming of this study was that it did not discuss the decision-making process behind these plans or how interaction processes affected the implementation of TOD principles. We suggest that subsequent studies focus on these issues, especially in small- and medium-sized cities.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/land12091818/s1, Table S1: Interviewees list; Table S2: Summary of the hierarchy of nodes; Table S3: Matrix of nodes and the 15 master plans.

Author Contributions

Conceptualization, B.W. and M.d.J.; methodology, B.W.; software, B.W.; investigation, B.W., M.d.J. and A.E.; resources, B.W. and M.d.J.; writing—original draft preparation, B.W.; writing—review and editing, M.d.J., E.v.B. and A.E.; visualization, B.W.; supervision, M.d.J., E.v.B. and A.E.; project administration, Y.M.; funding acquisition, Y.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the China Scholarship Council (201708620179), International Postdoctoral Exchange Fellowship Program (337939), Tsinghua University “Shuimu Tsinghua Scholar” Program (2023660091).

Data Availability Statement

Not applicable.

Acknowledgments

The authors would like to thank all the interviewees for providing invaluable information. We would also like to thank the two anonymous referees and editors for their insightful comments.

Conflicts of Interest

The authors declare no conflict of interest.

Note

1
China Railway (CR) was formerly known as the Ministry of Railways of China, which was dismantled in 2013.

References

  1. Global Platform for Sustainable Cities. TOD Implementation Resources and Tools; World Bank: Washington, DC, USA, 2018. [Google Scholar]
  2. Cervero, R. The Transit Metropolis: A Global Inquiry; Island Press: Washington, DC, USA, 1998; ISBN 1-59726-931-X. [Google Scholar]
  3. Calthorpe, P. The Next American Metropolis: Ecology, Community, and the American Dream; Princeton Architectural Press: Princeton, NJ, USA, 1993; ISBN 1-878271-68-7. [Google Scholar]
  4. Suzuki, H.; Cervero, R.; Luchi, K. Transforming Cities with Transit: Transit and Land-Use Integration for Sustainable Urban Development; World Bank: Washington, DC, USA, 2013. [Google Scholar]
  5. Dittmar, H.; Ohland, G. The New Transit Town: Best Practices in Transit-Oriented Development; Island Press: Washington, DC, USA, 2012; ISBN 1-59726-894-1. [Google Scholar]
  6. Curtis, C.; Renne, J.L.; Bertolini, L. Transit Oriented Development: Making It Happen; Ashgate Publishing, Ltd.: Farnham, UK, 2009; ISBN 978-0-7546-7315-6. [Google Scholar]
  7. Thomas, R.; Bertolini, L. Defining Critical Success Factors in TOD Implementation Using Rough Set Analysis. J. Transp. Land Use 2017, 10, 139–154. [Google Scholar] [CrossRef]
  8. Bertolini, L. Integrating Mobility and Urban Development Agendas: A Manifesto. Disp-Plan. Rev. 2012, 48, 16–26. [Google Scholar] [CrossRef]
  9. Hickman, R.; Chen, C.-L.; Chow, A.; Saxena, S. Improving Interchanges in China: The Experiential Phenomenon. J. Transp. Geogr. 2015, 42, 175–186. [Google Scholar] [CrossRef]
  10. Curtis, C. Transitioning to Transit-Oriented Development: The Case of Perth, Western Australia. Urban Policy Res. 2012, 30, 275–292. [Google Scholar] [CrossRef]
  11. Cervero, R.; Murakami, J. Rail and Property Development in Hong Kong: Experiences and Extensions. Urban Stud. 2009, 46, 2019–2043. [Google Scholar] [CrossRef]
  12. Cervero, R. Mixed Land-Uses and Commuting: Evidence from the American Housing Survey. Transp. Res. Part A Policy Pract. 1996, 30, 361–377. [Google Scholar] [CrossRef]
  13. Tan, W.G.Z.; Janssen-Jansen, L.B.; Bertolini, L. The Role of Incentives in Implementing Successful Transit-Oriented Development Strategies. Urban Policy Res. 2014, 32, 33–51. [Google Scholar] [CrossRef]
  14. Kumar, P.P.; Sekhar, C.R.; Parida, M. Identification of Neighborhood Typology for Potential Transit-Oriented Development. Transp. Res. Part D Transp. Environ. 2020, 78, 102186. [Google Scholar] [CrossRef]
  15. Thomas, R.; Pojani, D.; Lenferink, S.; Bertolini, L.; Stead, D.; van der Krabben, E. Is Transit-Oriented Development (TOD) an Internationally Transferable Policy Concept? Reg. Stud. 2018, 52, 1201–1213. [Google Scholar] [CrossRef]
  16. Pan, H.; Shen, Q.; Zhang, M. Influence of Urban Form on Travel Behaviour in Four Neighbourhoods of Shanghai. Urban Stud. 2009, 46, 275–294. [Google Scholar]
  17. Mu, R.; de Jong, M. Establishing the Conditions for Effective Transit-Oriented Development in China: The Case of Dalian. J. Transp. Geogr. 2012, 24, 234–249. [Google Scholar] [CrossRef]
  18. Jiang, T.; Song, M.; Jiang, Y.; Li, M.; Zou, H. Toward Transit Metropolis: Status Quo Analysis for Chinese Major Cities. Procedia-Soc. Behav. Sci. 2013, 96, 2621–2634. [Google Scholar] [CrossRef]
  19. Doulet, J.-F.; Delpirou, A.; Delaunay, T. Taking Advantage of a Historic Opportunity? A Critical Review of the Literature on TOD in China. J. Transp. Land Use 2017, 10, 77–92. [Google Scholar]
  20. Cervero, R.; Day, J. Suburbanization and Transit-Oriented Development in China. Transp. Policy 2008, 15, 315–323. [Google Scholar] [CrossRef]
  21. Yang, J.; Zhu, L.; Duan, Y.; Zhou, J.; Ma, H. Developing Metro-Based Accessibility: Three Aspects of China’s Rail+ Property Practice. Transp. Res. Part D Transp. Environ. 2020, 81, 102288. [Google Scholar] [CrossRef]
  22. Chen, C.; Loukaitou-Sideris, A.; de Ureña, J.M.; Vickerman, R. Spatial Short and Long-Term Implications and Planning Challenges of High-Speed Rail: A Literature Review Framework for the Special Issue. Eur. Plan. Stud. 2019, 27, 415–433. [Google Scholar] [CrossRef]
  23. Ma, X.; Chen, X.; Li, X.; Ding, C.; Wang, Y. Sustainable Station-Level Planning: An Integrated Transport and Land Use Design Model for Transit-Oriented Development. J. Clean. Prod. 2018, 170, 1052–1063. [Google Scholar] [CrossRef]
  24. Zhang, M. A Chinese Approach to “Transit Oriented Development”(TOD). In Handbook on Transport and Urban Transformation in China; Chen, C.-L., Pan, H., Shen, Q., Wang, J.J., Eds.; Edward Elgar Publishing: Cheltenham, UK, 2020. [Google Scholar]
  25. Dai, G. The Impact of Policy Networks on the Urbanisation around High-Speed Railway Stations in China: The Case of Wuhan. Environ. Plan. C Gov. Policy 2015, 33, 533–551. [Google Scholar] [CrossRef]
  26. Chen, C. High-Speed Rail and Its Wider Spatial-Economic Impact on Transformation of Chinese Cities and Regions: A Multi-Level Analysis. In Handbook on Transport and Urban Transformation in China; Edward Elgar Publishing: Cheltenham, UK, 2020. [Google Scholar]
  27. Yang, J.; Chen, J.; Le, X.; Zhang, Q. Density-Oriented versus Development-Oriented Transit Investment: Decoding Metro Station Location Selection in Shenzhen. Transp. Policy 2016, 51, 93–102. [Google Scholar] [CrossRef]
  28. Cervero, R.; Ferrell, C.; Murphy, S. Transit-Oriented Development and Joint Development in the United States: A Literature Review. TCRP Res. Results Dig. 2002, 52, 1–9. [Google Scholar]
  29. Dai, G.; de Vries, J. Place Making in Shanghai Hongqiao Business District: An Institutional Capacity Perspective. Urban Policy Res. 2018, 36, 97–113. [Google Scholar] [CrossRef]
  30. Song, Y.; de Jong, M.; Stead, D. Bypassing Institutional Barriers: New Types of Transit-Oriented Development in China. Cities 2021, 113, 103177. [Google Scholar] [CrossRef]
  31. Chen, C.; Wei, B. High-Speed Rail and Urban Transformation in China: The Case of Hangzhou East Rail Station. Built Environ. 2013, 39, 385–398. [Google Scholar] [CrossRef]
  32. Wang, B.; de Jong, M.; van Bueren, E.; Ersoy, A.; Chen, Y. Unravelling Decision-Making Processes on Location Choices for High-Speed Railway Stations in China: A Comparison of Shenzhen, Lanzhou and Jingmen. Plan. Theory Pract. 2021, 22, 433–454. [Google Scholar] [CrossRef]
  33. Lu, D. The Proposition to Avoid the Over Advance and Inappropriate Construction of China’s Transport Infrastructures. Sci. Geogr. Sin. 2012, 32, 2–10. (In Chinese) [Google Scholar]
  34. Wenner, F.; Thierstein, A. High Speed Rail as Urban Generator? An Analysis of Land Use Change around European Stations. Eur. Plan. Stud. 2021, 30, 227–250. [Google Scholar] [CrossRef]
  35. Fu, Y.; Zhang, X. Planning for Sustainable Cities? A Comparative Content Analysis of the Master Plans of Eco, Low-Carbon and Conventional New Towns in China. Habitat Int. 2017, 63, 55–66. [Google Scholar] [CrossRef]
  36. Su, S.; Zhang, H.; Wang, M.; Weng, M.; Kang, M. Transit-Oriented Development (TOD) Typologies around Metro Station Areas in Urban China: A Comparative Analysis of Five Typical Megacities for Planning Implications. J. Transp. Geogr. 2021, 90, 102939. [Google Scholar] [CrossRef]
  37. Geerlings, H.; Stead, D. The Integration of Land Use Planning, Transport and Environment in European Policy and Research. Transp. Policy 2003, 10, 187–196. [Google Scholar] [CrossRef]
  38. Stead, D. Institutional Aspects of Integrating Transport, Environment and Health Policies. Transp. Policy 2008, 15, 139–148. [Google Scholar] [CrossRef]
  39. Loukaitou-Sideris, A.; Peters, D. A Comparative Analysis of High Speed Rail Station Development into Destination and/or Multi-Use Facilities: The Case of San Jose Diridon; Mineta Transportation Institute: San Jose, CA, USA, 2017. [Google Scholar]
  40. Cervero, R.; Kockelman, K. Travel Demand and the 3Ds: Density, Diversity, and Design. Transp. Res. Part D Transp. Environ. 1997, 2, 199–219. [Google Scholar] [CrossRef]
  41. Cervero, R.; Sarmiento, O.L.; Jacoby, E.; Gomez, L.F.; Neiman, A. Influences of Built Environments on Walking and Cycling: Lessons from Bogotá. Int. J. Sustain. Transp. 2009, 3, 203–226. [Google Scholar] [CrossRef]
  42. Ewing, R.; Cervero, R. Travel and the Built Environment: A Meta-Analysis. J. Am. Plan. Assoc. 2010, 76, 265–294. [Google Scholar] [CrossRef]
  43. Bertolini, L.; Spit, T. Cities on Rails: The Redevelopment of Railway Stations and Their Surroundings; Routledge: London, UK, 1998; ISBN 1135811253. [Google Scholar]
  44. Olesen, K. Infrastructure Imaginaries: The Politics of Light Rail Projects in the Age of Neoliberalism. Urban Stud. 2020, 57, 1811–1826. [Google Scholar] [CrossRef]
  45. Vickerman, R. High-Speed Rail in Europe: Experience and Issues for Future Development. Ann. Reg. Sci. 1997, 31, 21–38. [Google Scholar] [CrossRef]
  46. Harvey, J.; Thorpe, N.; Caygill, M.; Namdeo, A. Public Attitudes to and Perceptions of High Speed Rail in the UK. Transp. Policy 2014, 36, 70–78. [Google Scholar] [CrossRef]
  47. Facchinetti-Mannone, V. A Methodological Approach to Analyze the Territorial Appropriation of High-Speed Rail from Interactions between Actions and Representations of Local Actors. Eur. Plan. Stud. 2019, 27, 461–482. [Google Scholar] [CrossRef]
  48. Hull, A. Policy Integration: What Will It Take to Achieve More Sustainable Transport Solutions in Cities? Transp. Policy 2008, 15, 94–103. [Google Scholar] [CrossRef]
  49. Flyvbjerg, B.; Bruzelius, N.; Rothengatter, W. Megaprojects and Risk: An Anatomy of Ambition; Cambridge University Press: New York, NY, USA, 2003; ISBN 0-521-00946-4. [Google Scholar]
  50. Bruinsma, F.; Pels, E.; Rietveld, P.; Priemus, H.; van Wee, B. The Impact of Railway Development on Urban Dynamics. In Railway Development Impacts on Urban Dynamics; Bruinsma, F., Pels, E., Priemus, H., Rietveld, P., van Wee, B., Eds.; Springer: Berlin/Heidelberg, Germany, 2008; pp. 1–11. [Google Scholar]
  51. Xu, W.; Guthrie, A.; Fan, Y.; Li, Y. Transit-Oriented Development in China: Literature Review and Evaluation of TOD Potential across 50 Chinese Cities. J. Transp. Land Use 2017, 10, 743–762. [Google Scholar]
  52. Ureña, J.M.; Menerault, P.; Garmendia, M. The High-Speed Rail Challenge for Big Intermediate Cities: A National, Regional and Local Perspective. Cities 2009, 26, 266–279. [Google Scholar] [CrossRef]
  53. Diao, M.; Zhu, Y.; Zhu, J. Intra-City Access to Inter-City Transport Nodes: The Implications of High-Speed-Rail Station Locations for the Urban Development of Chinese Cities. Urban Stud. 2017, 54, 2249–2267. [Google Scholar] [CrossRef]
  54. Yin, M.; Bertolini, L.; Duan, J. The Effects of the High-Speed Railway on Urban Development: International Experience and Potential Implications for China. Prog. Plan. 2015, 98, 1–52. [Google Scholar] [CrossRef]
  55. Garmendia, M.; Ribalaygua, C.; Ureña, J.M. High Speed Rail: Implication for Cities. Cities 2012, 29, S26–S31. [Google Scholar] [CrossRef]
  56. Giuliano, G. Land Use Impacts of Transportation Investments. Geogr. Urban Transp. 2004, 3, 237–273. [Google Scholar]
  57. Loukaitou-Sideris, A.; Cuff, D.; Higgins, T.; Linovski, O. Impact of High Speed Rail Stations on Local Development: A Delphi Survey. Built Environ. 2012, 38, 51–70. [Google Scholar] [CrossRef]
  58. Seik, F.T. An Advanced Demand Management Instrument in Urban Transport: Electronic Road Pricing in Singapore. Cities 2000, 17, 33–45. [Google Scholar] [CrossRef]
  59. Calthrop, E.; Proost, S. Regulating On-Street Parking. Reg. Sci. Urban Econ. 2006, 36, 29–48. [Google Scholar] [CrossRef]
  60. Bellet, C.; Alonso, P.; Gutiérrez, A. The High-Speed Rail in Spanish Cities: Urban Integration and Local Strategies for Socio-Economic Development. In Territorial Implications of High Speed Rail; A Spanish Perspective; Ashgate: Aldeshot, UK, 2012; pp. 163–196. [Google Scholar]
  61. Salet, W.; Bertolini, L.; Giezen, M. Complexity and Uncertainty: Problem or Asset in Decision Making of Mega Infrastructure Projects? Int. J. Urban Reg. Res. 2013, 37, 1984–2000. [Google Scholar] [CrossRef]
  62. Peek, G.J.; Bertolini, L.; De Jonge, H. Gaining Insight in the Development Potential of Station Areas: A Decade of Node-Place Modelling in The Netherlands. Plan. Pract. Res. 2006, 21, 443–462. [Google Scholar] [CrossRef]
  63. Singh, Y.J.; Lukman, A.; Flacke, J.; Zuidgeest, M.; Van Maarseveen, M. Measuring TOD around Transit Nodes-Towards TOD Policy. Transp. Policy 2017, 56, 96–111. [Google Scholar] [CrossRef]
  64. Reusser, D.E.; Loukopoulos, P.; Stauffacher, M.; Scholz, R.W. Classifying Railway Stations for Sustainable Transitions—Balancing Node and Place Functions. J. Transp. Geogr. 2008, 16, 191–202. [Google Scholar] [CrossRef]
  65. Chorus, P.; Bertolini, L. An Application of the Node Place Model to Explore the Spatial Development Dynamics. J. Transp. Land Use 2011, 4, 45–58. [Google Scholar] [CrossRef]
  66. Willigers, J.; Van Wee, B. High-Speed Rail and Office Location Choices. A Stated Choice Experiment for the Netherlands. J. Transp. Geogr. 2011, 19, 745–754. [Google Scholar] [CrossRef]
  67. Mohino, I.; Loukaitou-Sideris, A.; Urena, J.M. Impacts of High-Speed Rail on Metropolitan Integration: An Examination of London, Madrid and Paris. Int. Plan. Stud. 2014, 19, 306–334. [Google Scholar] [CrossRef]
  68. Dittmar, H.; Poticha, S. Defining Transit-Oriented Development: The New Regional Building Block. In The New Transit Town: Best Practices in Transit-Oriented Development; Island Press: Washington, DC, USA, 2004; pp. 19–40. [Google Scholar]
  69. Sánchez-Mateos, H.; Givoni, M. The Accessibility Impact of a New High-Speed Rail Line in the UK–a Preliminary Analysis of Winners and Losers. J. Transp. Geogr. 2012, 25, 105–114. [Google Scholar] [CrossRef]
  70. Beckerich, C.; Benoit, S.; Delaplace, M. Are the Reasons for Companies to Locate around Central versus Peripheral High-Speed Rail Stations Different? The Cases of Reims Central Station and Champagne-Ardenne Station. Eur. Plan. Stud. 2019, 27, 574–594. [Google Scholar] [CrossRef]
  71. Hall, P. Magic Carpets and Seamless Webs: Opportunities and Constraints for High-Speed Trains in Europe. Built Environ. 2009, 35, 59–69. [Google Scholar] [CrossRef]
  72. Zhao, J.; Chen, W. Influence of HSR Station Location on the Development of Surrounding Areas: A Case Study of Beijing-Shanghai HSR and Wuhan-Guangzhou HSR. City Plan. Rev. 2015, 39, 50–55. (In Chinese) [Google Scholar]
  73. Cascetta, E.; Papola, A.; Pagliara, F.; Marzano, V. Analysis of Mobility Impacts of the High Speed Rome–Naples Rail Link Using Withinday Dynamic Mode Service Choice Models. J. Transp. Geogr. 2011, 19, 635–643. [Google Scholar] [CrossRef]
  74. Cervero, R.; Dai, D. BRT TOD: Leveraging Transit Oriented Development with Bus Rapid Transit Investments. Transp. Policy 2014, 36, 127–138. [Google Scholar] [CrossRef]
  75. Vuchic, V.R. Transportation for Livable Cities; Routledge: London, UK, 2017; ISBN 1-351-31816-0. [Google Scholar]
  76. Lai, W.-T.; Chen, C.-F. Behavioral Intentions of Public Transit Passengers—The Roles of Service Quality, Perceived Value, Satisfaction and Involvement. Transp. Policy 2011, 18, 318–325. [Google Scholar] [CrossRef]
  77. Tapiador, F.J.; Burckhart, K.; Martí-Henneberg, J. Characterizing European High Speed Train Stations Using Intermodal Time and Entropy Metrics. Transp. Res. Part A Policy Pract. 2009, 43, 197–208. [Google Scholar] [CrossRef]
  78. Willson, R. Parking Policy for Transit-Oriented Development: Lessons for Cities, Transit Agencies, and Developers. J. Public Transp. 2005, 8, 5. [Google Scholar] [CrossRef]
  79. Loukaitou-Sideris, A.; Peters, D. What Is Good Station-Area Planning? Lessons from Experts and Case Studies. Built Environ. 2020, 46, 422–439. [Google Scholar] [CrossRef]
  80. Eidlin, E. Making the Most of High Speed Rail in California: Lessons from France and Germany; German Marshall Fund of the United States: Washington, DC, USA, 2015. [Google Scholar]
  81. Renne, J.L. Evaluating Transit-Oriented Development Using a Sustainability Framework: Lessons from Perth’s Network City. In Planning Sustainable Communities: Diversity of Approaches and Implementation Challenges; Tsenkova, S., Ed.; University of Calgary: Calgary, AB, Canada, 2009; pp. 115–148. [Google Scholar]
  82. ITDP. TOD Standard; Institute for Transportation & Development Policy: New York, NY, USA, 2017. [Google Scholar]
  83. Curtis, C. Planning for Sustainable Accessibility: The Implementation Challenge. Transp. Policy 2008, 15, 104–112. [Google Scholar] [CrossRef]
  84. Lynch, K. The Image of the City; MIT Press: Cambridge, MA, USA, 1960; Volume 11, ISBN 0-262-62001-4. [Google Scholar]
  85. Guerra, E.; Cervero, R. Cost of a Ride: The Effects of Densities on Fixed-Guideway Transit Ridership and Costs. J. Am. Plan. Assoc. 2011, 77, 267–290. [Google Scholar] [CrossRef]
  86. Schuetz, J. Do Rail Transit Stations Encourage Neighbourhood Retail Activity? Urban Stud. 2015, 52, 2699–2723. [Google Scholar] [CrossRef]
  87. Guthrie, A.; Fan, Y. Developers’ Perspectives on Transit-Oriented Development. Transp. Policy 2016, 51, 103–114. [Google Scholar] [CrossRef]
  88. Cervero, R.; Kang, C.D. Bus Rapid Transit Impacts on Land Uses and Land Values in Seoul, Korea. Transp. Policy 2011, 18, 102–116. [Google Scholar] [CrossRef]
  89. Du, H.; Ma, Y.; An, Y. The Impact of Land Policy on the Relation between Housing and Land Prices: Evidence from China. Q. Rev. Econ. Financ. 2011, 51, 19–27. [Google Scholar] [CrossRef]
  90. Forsyth, A.; Jacobson, J.; Thering, K. Six Assessments of the Same Places: Comparing Views of Urban Design. J. Urban Des. 2010, 15, 21–48. [Google Scholar] [CrossRef]
  91. Jabareen, Y.R. Sustainable Urban Forms: Their Typologies, Models, and Concepts. J. Plan. Educ. Res. 2006, 26, 38–52. [Google Scholar] [CrossRef]
  92. Jacobson, J.; Forsyth, A. Seven American TODs: Good Practices for Urban Design in Transit-Oriented Development Projects. J. Transp. Land Use 2008, 1, 51–88. [Google Scholar] [CrossRef]
  93. Douglas, G.C.C. Rail Transit Identification and Neighbourhood Identity. Exploring the Potential for ‘Community-Supportive Transit’. J. Urban Des. 2010, 15, 175–193. [Google Scholar] [CrossRef]
  94. van Lierop, D.; Maat, K.; El-Geneidy, A. Talking TOD: Learning about Transit-Oriented Development in the United States, Canada, and the Netherlands. J. Urban. Int. Res. Placemak. Urban Sustain. 2017, 10, 49–62. [Google Scholar] [CrossRef]
  95. Kloosterman, R.C.; Trip, J.J. Planning for Quality? Assessing the Role of Quality of Place in Current Dutch Planning Practice. J. Urban Des. 2011, 16, 455–470. [Google Scholar] [CrossRef]
  96. Trip, J.J. Urban Quality in High-Speed Train Station Area Redevelopment: The Cases of Amsterdam Zuidas and Rotterdam Centraal. Plan. Pract. Res. 2008, 23, 383–401. [Google Scholar] [CrossRef]
  97. Stojanovski, T. Urban Design and Public Transportation–Public Spaces, Visual Proximity and Transit-Oriented Development (TOD). J. Urban Des. 2020, 25, 134–154. [Google Scholar] [CrossRef]
  98. Hsieh, H.-F.; Shannon, S.E. Three Approaches to Qualitative Content Analysis. Qual. Health Res. 2005, 15, 1277–1288. [Google Scholar] [CrossRef] [PubMed]
  99. Schreier, M. Qualitative Content Analysis in Practice; Sage Publications: Newbury Park, CA, USA, 2012; ISBN 1-84920-593-0. [Google Scholar]
  100. Flick, U. The SAGE Handbook of Qualitative Data Analysis; Sage: Newbury Park, CA, USA, 2013; ISBN 1-4462-9669-5. [Google Scholar]
  101. Ribalaygua, C.; Perez-Del-Caño, S. Assessing Spatial Planning Strategy in High-Speed Rail Station Areas in Spain (1992–2018): Towards a Sustainable Model. Eur. Plan. Stud. 2019, 27, 595–617. [Google Scholar] [CrossRef]
  102. Pol, P.M.J. A Renaissance of Stations, Railways and Cities. Economic Effects, Development Strategies and Organisational Issues of European High-Speed-Train Stations; Erasmus Universiteit Rotterdam: Rotterdam, The Netherlands, 2002. [Google Scholar]
  103. Zemp, S.; Stauffacher, M.; Lang, D.J.; Scholz, R.W. Generic Functions of Railway Stations-A Conceptual Basis for the Development of Common System Understanding and Assessment Criteria. Transp. Policy 2011, 18, 446–455. [Google Scholar] [CrossRef]
  104. Peek, G.J.; Louw, E. Integrated Rail and Land Use Investment as a Multi-Disciplinary Challenge. Plan. Pract. Res. 2008, 23, 341–361. [Google Scholar] [CrossRef]
  105. Curtis, C.; Mellor, R. Anticipating a New Railway: The Relevance of Transit-Oriented Development to Businesses in a Car-Oriented City. Urban Policy Res. 2011, 29, 141–165. [Google Scholar] [CrossRef]
  106. Wang, B.; de Jong, M.; van Bueren, E.; Ersoy, A.; Song, Y. Planning and Developing a High-Speed Railway New Town under State Entrepreneurialism in China. Urban Geogr. 2022, 1–22. [Google Scholar] [CrossRef]
  107. Wang, B.; Ersoy, A.; van Bueren, E.; de Jong, M. Rules for the Governance of Transport and Land Use Integration in High-Speed Railway Station Areas in China: The Case of Lanzhou. Urban Policy Res. 2022, 40, 122–141. [Google Scholar] [CrossRef]
  108. Dai, G. Place-Making around High-Speed Railway Stations in China. Ph.D. Thesis, Universiteit van Amsterdam, Amsterdam, The Netherlands, 2015. [Google Scholar]
  109. Saunders, B.; Smith, K. Quality of Life, (E)Quality of Place: Growing Local Economies through Equitable Transit-Oriented Development. 2014. Available online: https://cnt.org/publications/quality-of-life-equality-of-place (accessed on 20 August 2023).
  110. Xu, T.; Zhang, M.; Aditjandra, P.T. The Impact of Urban Rail Transit on Commercial Property Value: New Evidence from Wuhan, China. Transp. Res. Part A Policy Pract. 2016, 91, 223–235. [Google Scholar] [CrossRef]
  111. Wu, F. Emerging Chinese Cities: Implications for Global Urban Studies. Prof. Geogr. 2016, 68, 338–348. [Google Scholar] [CrossRef]
  112. Ye, L.; Wu, A.M. Urbanization, Land Development, and Land Financing: Evidence from Chinese Cities. J. Urban Aff. 2014, 36, 354–368. [Google Scholar] [CrossRef]
  113. Pan, F.; Zhang, F.; Zhu, S.; Wójcik, D. Developing by Borrowing? Inter-Jurisdictional Competition, Land Finance and Local Debt Accumulation in China. Urban Stud. 2017, 54, 897–916. [Google Scholar] [CrossRef]
  114. Jiang, Y.; Waley, P.; Gonzalez, S. Shanghai Swings: The Hongqiao Project and Competitive Urbanism in the Yangtze River Delta. Environ. Plan. A Econ. Space 2016, 48, 1928–1947. [Google Scholar] [CrossRef]
  115. Li, J.; Chiu, R.L.H. State Rescaling and Large-Scale Urban Development Projects in China: The Case of Lingang New Town, Shanghai. Urban Stud. 2020, 57, 2564–2581. [Google Scholar] [CrossRef]
  116. Shen, J.; Wu, F. The Suburb as a Space of Capital Accumulation: The Development of New Towns in Shanghai, China. Antipode 2017, 49, 761–780. [Google Scholar] [CrossRef]
  117. Chen, Z.; Zhou, Y.; Haynes, K.E. Change in Land Use Structure in Urban China: Does the Development of High-Speed Rail Make a Difference. Land Use Policy 2021, 111, 104962. [Google Scholar] [CrossRef]
  118. Ibraeva, A.; de Almeida Correia, G.H.; Silva, C.; Antunes, A.P. Transit-Oriented Development: A Review of Research Achievements and Challenges. Transp. Res. Part A Policy Pract. 2020, 132, 110–130. [Google Scholar]
  119. Clagett, M.T. If It’s Not Mixed-Income, It Won’t Be Transit-Oriented: Ensuring Our Future Developments Are Equitable & Promote Transit. Transp. Law J. 2014, 41, 2–18. [Google Scholar]
  120. Shen, J.; Wu, F. Paving the Way to Growth: Transit-Oriented Development as a Financing Instrument for Shanghai’s Post-Suburbanization. Urban Geogr. 2020, 41, 1010–1032. [Google Scholar] [CrossRef]
  121. Yang, Y.; Han, S.S. Wrestling between Central and Local: Planning and Development of the Wuhan High-Speed Rail Station and Its Vicinity, China. Cities 2020, 105, 102828. [Google Scholar]
  122. Long, Y.; Gao, S. Shrinking Cities in China: The Other Facet of Urbanization; Springer: Berlin/Heidelberg, Germany, 2019; ISBN 9811326460. [Google Scholar]
  123. Gong, W.; Li, V.J. The Territorial Impact of High-Speed Rail on Urban Land Development. Cities 2022, 125, 103581. [Google Scholar] [CrossRef]
Land 12 01818 g001
Figure 1. Location of 15 HSR station areas (source: the authors).
Figure 1. Location of 15 HSR station areas (source: the authors).
Land 12 01818 g001
Table 1. Critical success factors in the TOD plan for HSR station areas.
Table 1. Critical success factors in the TOD plan for HSR station areas.
Factors in the LiteratureExplanationCodes in Plans
Context and GovernanceLocal contextCarefully consider the spatial/locational and economic characteristics City area
Population of the city
GDP of the city
VisionClear, smart, and strong
Long term, consistent 		Visions
Transport and InterchangeService level of HSR stationsGood level of HSR servicesPassenger number
Station level
Connected HSR lines
Destination accessibilityGood accessibility of services in cities Distance to city center
Accessibility to the stationEfficient road system
Good public transit connections and intermodal choices
Avoid barriers, such as large parking lots and highways
Parking supply		Road system
Road width
Planning of local transport methods
Public transport priority
Traffic volume of different methods
Seamless interchangeConvenient transfer between transport methodsSeamless transfer
Pedestrian- and bicycle-friendly systemsGood pedestrian and bicycle access to the station
Provide pedestrian friendly street networks		Pedestrian priority
Pedestrian–vehicle separation
Land-Use PlanningDensityHigh-density urban development
Taper densities with distance from a station		Station Area
Land use percentage
Floor–area ratio
DiversityMix of land-use functions and activities
Mix of housing types
Design in small blocks		Land-use types
Land use before development
Housing types
DesignPublic space for people to congregate
High-quality architecture		Design of public space
Architecture aesthetics
Table 2. Stations, cities, and documents for analysis.
Table 2. Stations, cities, and documents for analysis.
StationStation LevelCity City Area City PopulationCity GDP/CNY (in 2010)Planning Documents
Hangzhou East StationNational hubZhejiang Province Hangzhou City16,853.5 km2 (City 3068 km2)10.36 million (City 5.3 million)594,582 millionHangzhou East Station Concept Planning and Chengdong New Town Core Area Urban Design
Nanjing South
Station		National hubJiangsu Province
Nanjing City		6587 km2 9.31 million519,820 millionNanjing South HSR Station Area Comprehensive Planning
Shanghai Hongqiao
Station		National hubShanghai City6340.5 km224.87 million1,687,242
million		Shanghai Hongqiao Comprehensive Transportation Hub Planning and Design
and Hongqiao Business Core Urban Design and Control Detailed Planning
Guangzhou South StationNational hubGuangdong Province
Guangzhou City		7434.4 km218.68 million1,060,448
million		Guangzhou New Passenger Station Area Planning and Design
Shenzhen North StationNational hubGuangdong Province
Shenzhen City		1997.5 km217.56 million951,091 millionNew Shenzhen Station Area Urban design
Luoyang Longmen StationRegional interchangeHenan Province
Luoyang
City		15,230 km26.92 million232,120
million		Luoyang South Station Area Concept Planning and Urban Design
Foshan West StationRegional interchangeGuangdong Province
Foshan City		3848 km2 6 million565,152
million		Foshan West Station New Town Planning and Design
Changzhou
North Station		Regional interchangeJiangsu Province Changzhou City4385 km25.27 million297,670
million		Beijing–Shanghai HSR Changzhou Station Core Area Constructional Detailed Planning
Huzhou StationRegional interchangeZhejiang Province Huzhou City 5820 km23.36 million130,156
million		Huzhou City Train Station Area Urban Design
Bengbu North StationRegional interchangeAnhui Province Bengbu City5951 km2 3.30 million63,805
million		Bengbu HSR Station Area Concept Planning and Urban Design
Jinjiang StationMedium stationFujian Province Quanzhou City Jinjiang County-level city649 km22.06 million94,114
million		Fuxia HSR Jinjiang Station Comprehensive Economic Zone Control Detailed Planning
Xinyu North StationMedium stationJiangxi Province Xinyu City3178 km21.2 million63,122
million		Xinyu HSR Station Area Urban Design
Fuyang StationMedium stationZhejiang Province Hangzhou City Fuyang County-Level City1831 km20.66 million41,567
million		Hanghuang HSR Fuyang Station and Surrounding Area Urban Design
Tonglu StationMedium stationZhejiang Province Hangzhou City Tonglu County-Level City1829.59 km2 0.41 million19,793
million		Hangzhou Tonglu HSR Station Complex Concept Planning
Haining West StationSmall stationZhejiang Province Jiaxing City Haining County-Level City863 km2 1 million45,583
million		Zhejiang Haining West Station Area Planning
Table 3. General information of stations and station areas.
Table 3. General information of stations and station areas.
StationOpen YearRailway LinesPassenger NumberDistance to City Center Station AreaRelative Size
(km2/Million Population)		Station Floor AreaStation Layers
Hangzhou East Station2013Shanghai–Kunming HSR;
Hangzhou–Ningbo HSR;
Nanjing–Hangzhou HSR		54 million in 2020 (estimated)11.6 kmChengdong New Town 9.3 km2; Chengdong New Town Core Area 2.7 km2; Hangzhou East Station Area 0.45 km20.891,482,000 m25 layers
Nanjing South
Station		2011Beijing–Shanghai HSR; Shanghai–Wuhan–Chengdu HSR; Nanjing–Hangzhou HSR; Nanjing–Anqing intercity railway; Hefei–Nanjing HSR44.13 million in 2020 (estimated)12 km6 km2 in plan (extended to 66 km2 later)0.64 (7.09)730,000 m26 layers
Shanghai Hongqiao
Station		2010Beijing–Shanghai HSR; Shanghai–Wuhan–Chengdu HSR; Shanghai–Kunming HSR;52.72 million in 2020 (estimated)13 kmCore Station Area 4.76 km2; Business Area 26.26 km2; (Extended to 86.6 km2 later)0.19 (3.48)440,000 m25 layers
Guangzhou South Station2010Beijing–Guangzhou HSR; Guangzhou–Shenzhen–Hongkong HSR; Guiyang–Guangzhou HSR; Nanning–Guangzhou HSR; Guangzhou–Zhuhai intercity railway; Guangdong West Coastal HSR163 million in 201817 km 2.51 km20.13615,000 m26 layers
Shenzhen North Station2011Guangzhou–Shenzhen–Hongkong HSR; Hangzhou–Fuzhou–Shenzhen HSR; Ganzhou–Shenzhen HSR44.50 million in 2020 (estimated)9.3 km Planned Area 6.1 km2; Station Area 0.83 km2;
Core Station Area 0.47 km2		0.35182,000 m24 layers
Luoyang Longmen Station2010Xuzhou–Lanzhou HSR7.28 million in 2020 (estimated)2.5 km Station Area 10 km2;
Core Station Area 5 km2		1.4524,509 m23 layers
Foshan West Station2017Nanning–Guangzhou HSR; Guangzhou–Foshan Intercity Railway 54.7 million in 2020 (estimated)7.8 km 8.6 km21.4368,000 m23 layers
Changzhou
North Station		2011Beijing–Shanghai HSR11 million in 2020 (estimated)8 km Planned Area 4.5 km2; Station Area 0.87 km2;
Core Station Area 0.6 km2
(extended to 56 km2 HSR new town)		0.85 (10.63)39,600 m22 layers
Huzhou Station2013Hefei–Hangzhou HSR3 million in 2020 (estimated)7.5 km 6.9 km22.0519,920 m23 layers
Bengbu North Station2011Beijing–Shanghai HSR; Hefei–Bengbu HSR4.9 million in 2020 (estimated)7.5 km21.5 km26.5220,000 m23 layers
Jinjiang Station2010Fuzhou–Xiamen Railway4.38 million in 201810 km 4.61 km22.2310,657 m22 layers
Xinyu North Station2014Shanghai–Kunming HSR1.44 million in 201810 km2.22 km21.859995 m22 layers
Fuyang Station2018Hangzhou–Huangshan HSR1.7 million in 2020 (estimated)6 km 2.42 km23.6712,000 m22 layers
Tonglu Station2018Hangzhou–Huangshan HSR2.69 million in 2020 (estimated)4.5 km 10.06 km224.5312,000 m23 layers
Haining West Station2010Shanghai–Kunming HSR7.78 million in 2020 (estimated)25 km3.58 km23.5817,027 m21 layers
Table 4. Land use and percentage 1.
Table 4. Land use and percentage 1.
StationUrban Construction LandRoad AreaSquare and Parking Area 2Railway Area Residential AreaCommercial AreaBusiness and Financial AreaTourism and EntertainmentGreen Area
Hangzhou East Station2.74 km221.1%6%22.4%7.6%3.8%15.6%8.3%8.8%
Nanjing South
Station		5.26 km226.2%9.1%25.6%21.7%16.9%
Shanghai Hongqiao
Station		3.93 km2
17.61%2.26%-5%8%47.5%2.9%12.5%
Guangzhou South Station2.5 km222.8%4.2%13.2%14.8%9%9.7%0.6%25.7%
Shenzhen North Station4.68 km228.63%10.07%13.96%21.9%14.06%7.68%--
Luoyang Longmen Station5.3 km224.61%2.44%5.52%5.7%9.27%20.61%2.28%29.57%
Foshan West Station8.32 km228.73%2.3%5.8%14.5%10.51%13%6.65%12%
Changzhou
North Station		56 km2-1.6%1.5%13.33%9.35%24.22%7.55%4.1%
Huzhou Station6.9 km2--1.45%6.66%2.49%8.82%2.57%-
Bengbu North Station21.5 km215.75%2.83%22.25%3.56%2.69%1.62%26.96%
Jinjiang Station4.59 km220.48%1.23%3.03%1.82%5.6%28.5%-19.22%
Xinyu North Station2.12 km225.15%4.57%4.09%10.22%6.03%20.74%9.86%15.11%
Fuyang Station 2.42 km2--7.52%25.6%15.97%-
Tonglu Station8.99 km227.6%12.23%4.42%13.63%3.94%13.85%8.38%20.69%
Haining West Station3.58 km225.89%2.1%3.29%4.78%6.67%5.21%6.3%37.48%
1 The table does not include water and other non-construction land. 2 Land-use area of parking area only contains the parking area on the ground level. Underground parking areas in multi-layer stations are not included.
Table 5. Summary of TOD factors in the plans of Chinese HSR station areas.
Table 5. Summary of TOD factors in the plans of Chinese HSR station areas.
Factors in the LiteratureExplanationFactors in the Plans for HSR Station Areas
Context and GovernanceLocal contextCarefully consider the spatial/locational and economic characteristicsThe size of stations matches local contexts; however, the size of station areas and the location of stations are not aligned with local contexts
Stations are far from city centers
Large station areas, especially in small- and medium-sized cities
VisionClear, smart, and strong
Long-term, consistent		Focus on market-based growth visions rather than TOD visions
Unclear business development goals for large, medium, and small cities
Transport and InterchangeService level of HSR stationGood level of HSR service Railway areas occupy a small proportion of the whole area, while the railways operate at ground level creating a barrier in the city
National and regional hubs have a good level of HSR services; small- and medium-sized stations only connect to one HSR line
Destination accessibilityGood accessibility of services in citiesPoor accessibility of services in cities because of their remote locations
Accessibility to the stationEfficient road system
Good public transit connections and intermodal choices
Avoid barriers, such as large parking lots and highways
Parking supply		Many new roads planned; highways and other roads are very wide
Public transport priority and many intermodal choices (mega- and large cities better than small and medium cities); however, in reality, public transport often lags behind the opening of HSRs
Parking lots are underground, which does not create barriers
Seamless interchangeConvenient transfer between transport methodsPromoting seamless transfer and vertical interchange
In reality, transfers are impeded by long walking distances and security checks
Pedestrian- and bicycle-friendly systemsGood pedestrian and bicycle access to the station
Provide pedestrian-friendly street networks		Access to the station by cycling and walking is ignored in most plans
Most plans lack pedestrian-friendly networks
Land-Use PlanningDensityHigh-density urban development
Taper densities with distance from a station		HSR station areas are high and taper densities but not from the perspective of the whole city
DiversityMix of land uses and activities
Mix of housing types
Design small blocks		Large areas for commerce, business, and real estate
Lack of mixed-housing types and affordable housing
No real mix of functions, mega-blocks
DesignPublic space for people to congregate
High-quality architecture		Large parts of the plans
Good design of public spaces includes soft surfaces
High-quality architecture
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Wang, B.; de Jong, M.; van Bueren, E.; Ersoy, A.; Meng, Y. Transit-Oriented Development in China: A Comparative Content Analysis of the Spatial Plans of High-Speed Railway Station Areas. Land 2023, 12, 1818. https://doi.org/10.3390/land12091818

AMA Style

Wang B, de Jong M, van Bueren E, Ersoy A, Meng Y. Transit-Oriented Development in China: A Comparative Content Analysis of the Spatial Plans of High-Speed Railway Station Areas. Land. 2023; 12(9):1818. https://doi.org/10.3390/land12091818

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Wang, Biyue, Martin de Jong, Ellen van Bueren, Aksel Ersoy, and Yanchun Meng. 2023. "Transit-Oriented Development in China: A Comparative Content Analysis of the Spatial Plans of High-Speed Railway Station Areas" Land 12, no. 9: 1818. https://doi.org/10.3390/land12091818

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Wang, B., de Jong, M., van Bueren, E., Ersoy, A., & Meng, Y. (2023). Transit-Oriented Development in China: A Comparative Content Analysis of the Spatial Plans of High-Speed Railway Station Areas. Land, 12(9), 1818. https://doi.org/10.3390/land12091818

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